
\begingroup
\centering
\begin{tabular}{lccccccc}
   \tabularnewline \midrule \midrule
   Dependent Variables:                & PSOE          & PP             & UP             & Cs             & PANES    & ES                   & VOX\\  
   Model:                              & (1)           & (2)            & (3)            & (4)            & (5)      & (6)                  & (7)\\  
   \midrule
   \emph{Variables}\\
   Decrease                            & -0.2329$^{*}$ & 0.3811$^{***}$ & -0.4188$^{**}$ & 0.0056         & 0.2488   & -0.0118$^{***}$      & 0.0822\\   
                                       & (0.1064)      & (0.0567)       & (0.1294)       & (0.2425)       & (0.2078) & ($1\times 10^{-5}$)  & (0.3423)\\   
   Increase                            & 0.8166$^{*}$  & 0.6904         & -0.9834        & 0.9673$^{*}$   & -0.5124  & 0.0092$^{***}$       & -0.3842\\   
                                       & (0.3345)      & (0.8576)       & (0.7563)       & (0.3138)       & (0.2618) & ($1\times 10^{-5}$)  & (0.5883)\\   
   \% workers agriculture              & 0.0061        & 0.0145         & 0.0103$^{*}$   & -0.0020        & 0.0033   & 0.0001$^{**}$        & -0.0312\\   
                                       & (0.0194)      & (0.0148)       & (0.0041)       & (0.0139)       & (0.0110) & ($1\times 10^{-5}$)  & (0.0148)\\   
   \% workers services                 & -0.0054       & 0.0031         & 0.0251$^{**}$  & 0.0068         & -0.0024  & -0.0002$^{**}$       & -0.0358$^{*}$\\   
                                       & (0.0074)      & (0.0184)       & (0.0061)       & (0.0101)       & (0.0038) & ($1\times 10^{-5}$)  & (0.0147)\\   
   \% unemployed                       & 0.0219        & 0.0642         & -0.0638        & -0.0166        & 0.0477   & -0.0010$^{***}$      & -0.0054\\   
                                       & (0.0297)      & (0.0593)       & (0.0350)       & (0.0138)       & (0.0293) & ($1\times 10^{-5}$)  & (0.0314)\\   
   $\triangle{}$\% 60 y/o or older     & -0.0023       & -0.0076        & -0.0074        & -0.0302        & -0.0244  & -0.0012$^{***}$      & 0.0817$^{*}$\\   
                                       & (0.0228)      & (0.0197)       & (0.0231)       & (0.0245)       & (0.0156) & ($1\times 10^{-5}$)  & (0.0271)\\   
   $\triangle{}$\% 16 y/o or younger   & 0.0126        & -0.0723        & -0.0173        & 0.0790         & -0.1077  & -0.0010$^{***}$      & 0.1931\\   
                                       & (0.0411)      & (0.0763)       & (0.0468)       & (0.0397)       & (0.0768) & ($1\times 10^{-5}$)  & (0.1098)\\   
   (Log) Population                    & -4.824        & 2.514          & 4.540          & -6.855$^{***}$ & 3.011    & -0.0623$^{***}$      & -0.8058\\   
                                       & (2.338)       & (5.504)        & (3.967)        & (0.2048)       & (4.517)  & ($1\times 10^{-5}$)  & (6.446)\\   
   \midrule
   \emph{Fixed-effects}\\
   Municipality                        & Yes           & Yes            & Yes            & Yes            & Yes      & Yes                  & Yes\\  
   Year                                & Yes           & Yes            & Yes            & Yes            & Yes      & Yes                  & Yes\\  
   \midrule
   \emph{Fit statistics}\\
   Observations                        & 40,400        & 40,400         & 40,400         & 32,343         & 34,424   & 7,460                & 32,343\\  
   R$^2$                               & 0.92720       & 0.93861        & 0.83043        & 0.78987        & 0.98386  & 0.99780              & 0.77132\\  
   Within R$^2$                        & 0.00837       & 0.00346        & 0.01764        & 0.01386        & 0.00778  & 0.00078              & 0.00615\\  
   \midrule \midrule
   \multicolumn{8}{l}{\emph{Clustered (Region \& Municipality \& Year) standard-errors in parentheses}}\\
   \multicolumn{8}{l}{\emph{Signif. Codes: ***: 0.01, **: 0.05, *: 0.1}}\\
\end{tabular}
\par\endgroup


